Wilma Puzon-McLaughlin
- Immunology and Allergy top 0.2%
- Cell Adhesion Molecules Research 18
- Hematology top 5%
- Platelet Disorders and Treatments 4
- Cell Biology top 2%
- Cellular Mechanics and Interactions 3
- Immunology top 10%
- Cancer Research top 10%
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- Monoclonal and Polyclonal Antibodies Research 8
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- Biochemical and Structural Characterization 5
- Protein Kinase Regulation and GTPase Signaling 3
- Glycosylation and Glycoproteins Research 2
- Signaling Pathways in Disease 2
Wilma Puzon-McLaughlin
22 papers receiving 1.9k citations
Peers
Comparison fields: 5 of 83
- Immunology and Allergy 1.4k
- Hematology 352
- Cell Biology 514
- Immunology 344
- Cancer Research 231
Countries citing papers authored by Wilma Puzon-McLaughlin
This map shows the geographic impact of Wilma Puzon-McLaughlin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Wilma Puzon-McLaughlin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wilma Puzon-McLaughlin more than expected).
Fields of papers citing papers by Wilma Puzon-McLaughlin
This network shows the impact of papers produced by Wilma Puzon-McLaughlin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Wilma Puzon-McLaughlin. The network helps show where Wilma Puzon-McLaughlin may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Wilma Puzon-McLaughlin, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2016 | 10 | |
| 2 | 2013 | 43 | |
| 3 | 2008 | 246 | |
| 4 | 2006 | 349 | |
| 5 | 2006 | 1 | |
| 6 | 2002 | 2 | |
| 7 | 2002 | 131 | |
| 8 | 2002 | 90 | |
| 9 | 2000 | 84 | |
| 10 | 2000 | 189 | |
| 11 | Integrin alpha3beta1 expressed by human colon cancer cells is a major carrier of oncodevelopmental carbohydrate epitopes. | 1999 | 27 |
| 12 | 1999 | 36 | |
| 13 | 1999 | 24 | |
| 14 | 1998 | 182 | |
| 15 | 1998 | 92 | |
| 16 | 1997 | 105 | |
| 17 | 1997 | 30 | |
| 18 | 1996 | 41 | |
| 19 | 1996 | 72 | |
| 20 | Induction of experimental bone metastasis in mice by transfection of integrin alpha 4 beta 1 into tumor cells. | 1996 | 101 |
About Wilma Puzon-McLaughlin
Wilma Puzon-McLaughlin is a scholar working on Immunology and Allergy, Radiology, Nuclear Medicine and Imaging, Cell Biology, Hematology and Molecular Biology, having authored 22 papers that have together received 2.0k indexed citations. Recurring topics across this work include Cell Adhesion Molecules Research (18 papers), Monoclonal and Polyclonal Antibodies Research (8 papers), Biochemical and Structural Characterization (5 papers), Platelet Disorders and Treatments (4 papers), Protein Kinase Regulation and GTPase Signaling (3 papers), Cellular Mechanics and Interactions (3 papers), Glycosylation and Glycoproteins Research (2 papers) and Signaling Pathways in Disease (2 papers). The work is most often cited by research in Immunology and Allergy (1.4k citations), Hematology (352 citations), Cell Biology (514 citations), Immunology (344 citations) and Cancer Research (231 citations). Wilma Puzon-McLaughlin has collaborated with scholars based in United States, Japan and Canada. Frequent co-authors include Yoshikazu Takada, Tetsuji Kamata, Chinten James Lim, Sanford J. Shattil, Mark H. Ginsberg, Ho Sup Lee, Koji Eto, Dean Sheppard, Kenji Yokoyama and Mark Ginsberg. Their work appears in journals such as Journal of Biological Chemistry, Biochemical Journal, Matrix Biology, Journal of Cellular Biochemistry and The Journal of Immunology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.